基于SOPC的脑电信号实时处理

Based on SOPC EEG real-time processing

为满足脑电信号采集、处理设备具有便携式,实时性,数据量大的实际需求,提出了一种基于SOPC的脑电信号实时处理设计方案。用脑电极采集到的脑电信号经过前期预处理(放大,滤波)、A/D模数转换后,经过SOPC系统对脑电信号进行频谱分析、特征提取,最后存储或传输。整个设计围绕SOPC系统,以NiosⅡCPU为核心,并与其他外围设备集成,实现整个系统的控制与处理能力。利用SOPC系统实现的脑电信号采集系统,具有体积小、运算速度快、方案灵活的特点,为构建脑电信号实时处理系统提供了一个新技术方案。

To meet the brain signal acquisition, processing equipment with a portable, real-time, the actual needs of large volumes of data, this paper presents an EEG-based real-time processing SOPC design. With brain electrode EEG collected after a pre-pre-treatment （amplification, filtering）, A/D analog-digital conversion, after SOPC system for EEG spectral analysis, feature extraction, the final storage or transmission. SOPC design around the entire system to Nios 11 CPU core, and integration with other peripheral devices, to achieve the overall system control and processing capabilities. SOPC system implementation using EEG acquisition system, with a small, fast speed, flexible features of the program for building real-time EEG processing system provides a new technical solution.